Professuren für Statistik und Ökonometrie
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BayesX is distributed in two different versions.

  • A precompiled binary including installer that provides you with both a command line version of BayesX and a version with graphical user interface (implemented in java).
  • A source code package with a makefile.

We suggest to work with the pre-compiled version as a standard. In addition, two R packages (R2BayesX, BayesR) provide access to BayesX from within R via the usual model specification language (see also the FAQ).

Note: Running the GUI version of BayesX requires a 64bit java (>=1.8) included in the path.


Last Update: Version 3.0.2 17.07.2015)


BayesX is distributed with three manuals: A reference manual containing a detailed description of the BayesX commands, a methodology manual containing a short review of the methodological background, and a tutorial manual containing tutorial like sections for new users. All three manuals are part of the standard installation of BayesX and can be found in the 'doc' directory (a subdirectory of the installation directory). They are also available from the BayesX help menu (in the windows version).


If you want to register yourself as a BayesX-user, please enter your E-Mail-address below and click on the 'submit' button. Registration is not necessary for using BayesX, but as a registered user you will be informed about future releases of BayesX or if severe bugs have been found in the current version.

Your email address
your name (optional):

You can enter a password below (optional). This provides only mild security, but should prevent others from messing with your subscription. Do not use a valuable password as it will occasionally be emailed back to you in cleartext. If you choose not to enter a password, one will be automatically generated for you, and it will be sent to you once you've confirmed your subscription. You can always request a mail-back of your password when you edit your personal options.

repeat password:


Previous versions of BayesX are still available, although we suggest to work with the most recent version.

SVN access to the current source code

Anonymous, read-only SVN access to the BayesX source code is available via with user name "anonymous" and empty password.